Multi-view 2D Keypoint Detection.
We employ the whole-body pose model that includes body, hand and face 2D keypoints \(\hat{\mathcal {P}}_{2D} \in \mathbb {R}^{P \times 2}\) , where \(P=133\) . A large deep learning model HRNet-w48 [1]} is used which achieves AP 66.1 and AR 74.3 on COCO whole-body benchmark [2]}.
